Skip to main content

Simple python tool to create dataset for arrps.

Project description

Simple python tool to render dataset that can be used for training models for active regulatory regions prediction.

How to get the dataset?

Just clone the repo.

How to get the package?

Just type into your terminal:

pip install arrp_dataset

Which genome does it use by default?

By default it uses hg19, as it is the genome used in the labeled data currently available from the Wasserman team.


This package will use the package bedtools to elaborate the bed files. A setup for the package is available here.

Rendering the dataset

Just type into your terminal:


Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for arrp-dataset, version 1.0.2
Filename, size File type Python version Upload date Hashes
Filename, size arrp_dataset-1.0.2-py3-none-any.whl (8.5 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size arrp_dataset-1.0.2.tar.gz (5.2 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page